| Brain-computer interface: Advancement and challenges MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam, Y Watanobe Sensors 21 (17), 5746, 2021 | 197 | 2021 |
| A comprehensive review on fake news detection with deep learning MF Mridha, AJ Keya, MA Hamid, MM Monowar, MS Rahman IEEE access 9, 156151-156170, 2021 | 172 | 2021 |
| A survey of automatic text summarization: Progress, process and challenges MF Mridha, AA Lima, K Nur, SC Das, M Hasan, MM Kabir IEEE Access 9, 156043-156070, 2021 | 132 | 2021 |
| A survey of speaker recognition: Fundamental theories, recognition methods and opportunities MM Kabir, MF Mridha, J Shin, I Jahan, AQ Ohi IEEE Access 9, 79236-79263, 2021 | 126 | 2021 |
| An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system K Mridha, MM Uddin, J Shin, S Khadka, MF Mridha IEEE Access 11, 41003-41018, 2023 | 102 | 2023 |
| Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time MR Islam, MM Kabir, MF Mridha, S Alfarhood, M Safran, D Che Sensors 23 (11), 5204, 2023 | 85 | 2023 |
| A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis JMK Muhammad Firoz Mridha, Md. Abdul Hamid, Abu Quwsar Ohi, Md. Rashedul ... cancers 13 (NA), NA, 2021 | 76 | 2021 |
| A comprehensive survey on the detection, classification, and challenges of neurological disorders AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam, Y Watanobe Biology 11 (3), 469, 2022 | 71 | 2022 |
| Recent advancements and challenges of nlp-based sentiment analysis: A state-of-the-art review JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha Natural Language Processing Journal, 100059, 2024 | 68 | 2024 |
| How can we manage offensive text in social media-a text classification approach using LSTM-BOOST MAH Wadud, MM Kabir, MF Mridha, MA Ali, MA Hamid, MM Monowar International Journal of Information Management Data Insights 2 (2), 100095, 2022 | 67 | 2022 |
| A multi-plant disease diagnosis method using convolutional neural network MM Kabir, AQ Ohi, MF Mridha Computer vision and machine learning in agriculture, 99-111, 2021 | 65 | 2021 |
| Bmnet-5: A novel approach of neural network to classify the genre of bengali music based on audio features KM Hasib, A Tanzim, J Shin, KO Faruk, J Al Mahmud, MF Mridha IEEE Access 10, 108545-108563, 2022 | 61 | 2022 |
| A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM MSU Miah, MM Kabir, TB Sarwar, M Safran, S Alfarhood, MF Mridha Scientific Reports 14 (1), 9603, 2024 | 57 | 2024 |
| Exploring optimal control of epidemic spread using reinforcement learning AQ Ohi, MF Mridha, MM Monowar, MA Hamid Scientific reports 10 (1), 22106, 2020 | 56 | 2020 |
| Plantdet: A robust multi-model ensemble method based on deep learning for plant disease detection MSH Shovon, SJ Mozumder, OK Pal, MF Mridha, N Asai, J Shin IEEE Access 11, 34846-34859, 2023 | 53 | 2023 |
| IoT based Health monitoring & automated predictive system to confront COVID-19 MMS Choyon, M Rahman, MM Kabir, MF Mridha 2020 IEEE 17th International Conference on Smart Communities: Improving …, 2020 | 51 | 2020 |
| Automated stroke prediction using machine learning: an explainable and exploratory study with a web application for early intervention K Mridha, S Ghimire, J Shin, A Aran, MM Uddin, MF Mridha IEEE Access 11, 52288-52308, 2023 | 50 | 2023 |
| Deep speaker recognition: Process, progress, and challenges AQ Ohi, MF Mridha, MA Hamid, MM Monowar IEEE Access 9, 89619-89643, 2021 | 49 | 2021 |
| Deep learning for medical image segmentation: State-of-the-art advancements and challenges ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha Informatics in Medicine Unlocked, 101504, 2024 | 47 | 2024 |
| Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation MR Islam, K Oliullah, MM Kabir, M Alom, MF Mridha Journal of Agriculture and Food Research 14, 100880, 2023 | 47 | 2023 |
Md Mohsin KabirPhD Student in Computer Science | MDU, Sweden | Ex. UdG, Spain | Ex. ELTE, HungaryZweryfikowany adres z mdu.se